Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

VictoriaMetrics March 2026 Ecosystem Updates

Welcome to the March release roundup of VictoriaMetrics Stack, covering key enhancements in VictoriaMetrics and VictoriaLogs. These updates deliver improved UI scalability, enhanced authentication flexibility, improved query performance, and logging tools that streamline observability workflows in production environments. This roundup covers releases for.

The single pane of glass approach to cloud monitoring

Dozens of SaaS services you depend on, starting from Google Workspace and Slack to Shopify, may experience downtime, partial outages, or degraded performance. And most have their own status pages, APIs, or RSS feeds. Juggling all these sources is exhausting, and many teams suffer from alert fatigue, missed early warnings, and fragmented visibility.
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How to Centralize Incident Notifications in Slack

Even a brief outage in a critical service can disrupt projects. Customers get frustrated and flood the support team with tickets. What's the solution? Centralizing incident notifications and real-time status alerts in Slack. Many teams already collaborate there anyway. So let's take a look at how teams can streamline service monitoring, alerting, and incident workflows in Slack using integrations, automation, and tools like StatusGator.

From alerts to action: Where reliability is actually won

Observability has evolved dramatically in the past decade. The industry has moved from basic uptime checks to full-stack observability (FSO), including metrics, logs, traces, and real user monitoring. Observability tools like ManageEngine FSO can detect anomalies in little time. And yet, outages still last longer than they should. Observability has matured. Response hasn’t. Most IT teams today have the tools to know when something breaks. But knowing is not the same as resolving.

Profiling Java apps: breaking things to prove it works

Coroot already does eBPF-based CPU profiling for Java. It catches CPU hotspots well, but that's all it can do. Every time we looked at a GC pressure issue or a latency spike caused by lock contention, we could see something was wrong but not what. We wanted memory allocation and lock contention profiling. So we decided to add async-profiler support to coroot-node-agent. The goal: memory allocation and lock contention profiles for any HotSpot JVM, with zero code changes. Here's how we got there.

When we say "Observability AI Reckoning," what are we actually talking about?

We’ve spent the last decade collecting more telemetry. Now AI is analyzing it. Here’s the catch: AI needs the full dependency chain to reason correctly. If it sees spans but not storage contention… Services but not Kubernetes scheduling… Frontend metrics but not downstream providers… It will confidently optimize the wrong thing. AI doesn’t lower the need for observability. It raises the standard.

Streaming Video Monitoring: How to Detect Playback Issues Before Viewers Leave

Video is the single largest driver of internet traffic worldwide. According to the Sandvine Global Internet Phenomena Report, video accounts for 65% of all internet traffic, with on-demand streaming alone consuming over half of all downstream bandwidth on fixed networks. In the United States, households spend nearly five hours per day streaming content, and 94.6% of internet users worldwide watch online video monthly.

The Business Case for AI-Driven Observability in Network Operations

Modern network operations generate an extraordinary amount of telemetry. Metrics, logs, events, topology data, cloud signals, and service context all contribute to a richer picture of system behavior. As environments expand across cloud, data center, edge, and SaaS, the opportunity for operations teams is clear: when that telemetry is unified and understood in context, it becomes a powerful source of resilience, efficiency, and business insight.

KubeCon + CloudNativeCon EU 2026: What We Learned About AI, Observability, and Fast Feedback Loops

Honeycomb was excited to attend KubeCon + CloudNativeCon Europe, where one theme stood out across sessions: as AI reshapes how software is built and run, teams are being pushed to rethink how they understand their systems. Without strong observability and feedback loops, AI can accelerate confusion, misalignment, and operational risk.